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Showing 4501–4550 of 9169 papers

TitleStatusHype
Empirical Studies on Symbolic Aggregation Approximation Under Statistical Perspectives for Knowledge Discovery in Time Series—0
Empirical Risk Minimization for Time Series: Nonparametric Performance Bounds for Prediction—0
A General Method for Event Detection on Social Media—0
Actor-Critic Approach for Temporal Predictive Clustering—0
Empirical Quantitative Analysis of COVID-19 Forecasting Models—0
Empirical observations of ultraslow diffusion driven by the fractional dynamics in languages: Dynamical statistical properties of word counts of already popular words—0
Causal Temporal Regime Structure Learning—0
Empirical facts characterizing banking crises: an analysis via binary time series—0
CaSS: A Channel-aware Self-supervised Representation Learning Framework for Multivariate Time Series Classification—0
A novel approach to quantify volatility prediction—0
Empirical analysis of daily cash flow time series and its implications for forecasting—0
Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation—0
Emotion-Inspired Deep Structure (EiDS) for EEG Time Series Forecasting—0
Emotional Expression Classification using Time-Series Kernels—0
Case Studies of Causal Discovery from IT Monitoring Time Series—0
A Novel Approach to Forecasting Financial Volatility with Gaussian Process Envelopes—0
A Generalized Transformer-based Radio Link Failure Prediction Framework in 5G RANs—0
Emerging Statistical Machine Learning Techniques for Extreme Temperature Forecasting in U.S. Cities—0
Case ID detection based on time series data -- the mining use case—0
EMERGE: Integrating RAG for Improved Multimodal EHR Predictive Modeling—0
Case-based reasoning for rare events prediction on strategic sites—0
A Novel Approach for Classification and Forecasting of Time Series in Particle Accelerators—0
Embedding Symbolic Temporal Knowledge into Deep Sequential Models—0
Embedded Topic Models Enhanced by Wikification—0
Cascaded Region-based Densely Connected Network for Event Detection: A Seismic Application—0
A novel application of Shapley values for large multidimensional time-series data: Applying explainable AI to a DNA profile classification neural network—0
A generalized financial time series forecasting model based on automatic feature engineering using genetic algorithms and support vector machine—0
Activity recognition using ST-GCN with 3D motion data—0
A causal learning approach to in-orbit inertial parameter estimation for multi-payload deployers—0
Embarrassingly Simple MixUp for Time-series—0
Elucidation of time-dependent systems biology cell response patterns with time course network enrichment—0
Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting—0
CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning from Sporadic Temporal Data—0
A Novel Algorithm for the Maximal Fit Problem in Boolean Networks—0
Eliciting Disease Data from Wikipedia Articles—0
Electricity Demand Forecasting with Hybrid Statistical and Machine Learning Algorithms: Case Study of Ukraine—0
Electrical Load Forecasting Model Using Hybrid LSTM Neural Networks with Online Correction—0
Forecasting Cardiology Admissions from Catheterization Laboratory—0
An Ordinal Pattern Approach to Detect and to Model Leverage Effects and Dependence Structures Between Financial Time Series—0
Capturing Temporal Components for Time Series Classification—0
An Ordered Lasso and Sparse Time-Lagged Regression—0
EigenNetworks—0
Ego-Network Transformer for Subsequence Classification in Time Series Data—0
EF-LLM: Energy Forecasting LLM with AI-assisted Automation, Enhanced Sparse Prediction, Hallucination Detection—0
Capturing Momentum: Tennis Match Analysis Using Machine Learning and Time Series Theory—0
An Optimized and Energy-Efficient Parallel Implementation of Non-Iteratively Trained Recurrent Neural Networks—0
CASU2Net: Cascaded Unification Network by a Two-step Early Fusion for Fault Detection in Offshore Wind Turbines—0
Efficient Time Series Processing for Transformers and State-Space Models through Token Merging—0
Efficient Time Series Forecasting via Hyper-Complex Models and Frequency Aggregation—0
Efficient structure learning with automatic sparsity selection for causal graph processes—0
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